A Novel Evaluation of World No Tobacco Day in Latin America

Ayers, John W.; Althouse, Benjamin M.; Allem, Jon Patrick; Ford, Daniel E.; Ribisl, Kurt M.; Cohen, Joanna E.

doi:10.2196/jmir.2148

Cited by 56 publications

(36 citation statements)

References 48 publications

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“…The findings add to the growing literature on how novel data streams can inform education campaigns,20 21 public health22–26 and regulatory science 27. Findings demonstrated the possibility for real-time monitoring of education campaigns in the future.…”

Section: Resultsmentioning

confidence: 59%

Campaigns and counter campaigns: reactions on Twitter to e-cigarette education

et al. 2016

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Background Social media present opportunities for public health departments to galvanise interest in health issues. A challenge is creating content that will resonate with target audiences, and determining reactions to educational material. Twitter can be used as a real-time surveillance system to capture individuals’ immediate reactions to education campaigns and such information could lead to better campaigns in the future. A case study testing Twitter’s potential presented itself when the California Department of Public Health launched its ‘Still Blowing Smoke’ media campaign about the potential harmful effects of e-cigarettes. Pro-e-cigarette advocacy groups, in response, launched a counter campaign titled ‘Not Blowing Smoke’. This study tracked the popularity of the two campaigns on Twitter, analysed the content of the messages and determined who was involved in these discussions. Methods The study period was from 22 March 2015 to 27 June 2015. A stratified sampling procedure supplied 2192 tweets for analysis. Content analysis identified pro, anti and neutral e-cigarette tweets, and five additional themes: Marketing Elements, Money, Regulation/propaganda, Health, and Other. Metadata were analysed to obtain additional information about Twitter accounts. Results ‘Not Blowing Smoke’ was referenced more frequently than ‘Still Blowing Smoke’ on Twitter. Messages commonly objected to government regulation of e-cigarettes, refuted claims that e-cigarette manufactures were aligned with big tobacco, and touted the health benefits of e-cigarette use. E-cigarette companies and vape shops used campaign slogans to communicate with customers on Twitter. Conclusions Findings showed the time dynamics of Twitter and the possibility for real-time monitoring of education campaigns.

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Section: Resultsmentioning

confidence: 59%

Campaigns and counter campaigns: reactions on Twitter to e-cigarette education

et al. 2016

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“…Moreover, Internet sites can be mined to acquire data relevant to issues dealing with public health, a science referred to as infodemiology [24-26]. Several prior infodemiological-type studies have produced informative data related specifically to tobacco products [3,10,27]. E-cigarette forums have an increasingly popular presence on the Internet where e-cigarette users can post data relevant to the health effects they experience from using these products.…”

Section: Introductionmentioning

confidence: 99%

Health-Related Effects Reported by Electronic Cigarette Users in Online Forums

Hua¹,

Alfi²,

Talbot³

2013

J Med Internet Res

156

148

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BackgroundThe health effects caused by electronic cigarette (e-cigarette) use are not well understood.ObjectiveOur purpose was to document the positive and negative short-term health effects produced by e-cigarette use through an analysis of original posts from three online e-cigarettes forums.MethodsData were collected into Microsoft Access databases and analyzed using Cytoscape association graphics, frequency distributions, and interactomes to determine the number and type of health effects reported, the organ systems affected the frequency of specific effects, and systems interactions.ResultsA total of 405 different symptoms due to e-cigarette use were reported from three forums. Of these, 78 were positive, 326 were negative, and one was neutral. While the reported health effects were similar in all three forums, the forum with the most posts was analyzed in detail. Effects, which were reported for 12 organ systems/anatomical regions, occurred most often in the mouth and throat and in the respiratory, neurological, sensory, and digestive systems. Users with negative symptoms often reported more than one symptom, and in these cases interactions were often seen between systems, such as the circulatory and neurological systems. Positive effects usually occurred singly and most frequently affected the respiratory system.ConclusionsThis is the first compilation and analysis of the health effects reported by e-cigarette users in online forums. These data show that e-cigarette use can have wide ranging positive and negative effects and that online forums provide a useful resource for examining how e-cigarette use affects health.

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“…In the health and medical domain, much research has demonstrated the ability to understand real-world activity from search data including the detection of influenza [Eysenbach 2006;Ginsberg et al 2008;Santillana et al 2014], norovirus [Desai et al 2012], and dengue [Chan et al 2011] outbreaks; the discovery of side effects of medications [Yom-Tov and Gabrilovich 2013;; insights into healthcare utilization [White and Horvitz 2013b]; the study of dietary patterns [West et al 2013;Kusmierczyk et al 2015]; and measuring the effectiveness of public health awareness campaigns [Glynn et al 2011;Ayers et al 2012]. …”

Section: Search Log Analysismentioning

confidence: 99%

Search and Breast Cancer

2016

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We seek to understand the evolving needs of people who are faced with a life-changing medical diagnosis based on analyses of queries extracted from an anonymized search query log. Focusing on breast cancer, we manually tag a set of Web searchers as showing patterns of search behavior consistent with someone grappling with the screening, diagnosis, and treatment of breast cancer. We build and apply probabilistic classifiers to detect these searchers from multiple sessions and to identify the timing of diagnosis using temporal and statistical features. We explore the changes in information seeking over time before and after an inferred diagnosis of breast cancer by aligning multiple searchers by the estimated time of diagnosis. We employ the classifier to automatically identify 1,700 candidate searchers with an estimated 90% precision, and we predict the day of diagnosis within 15 days with an 88% accuracy. We show that the geographic and demographic attributes of searchers identified with high probability are strongly correlated with ground truth of reported incidence rates. We then analyze the content of queries over time for inferred cancer patients, using a detailed ontology of cancer-related search terms. The analysis reveals the rich temporal structure of the evolving queries of people likely diagnosed with breast cancer. Finally, we focus on subtypes of illness based on inferred stages of cancer and show clinically relevant dynamics of information seeking based on the dominant stage expressed by searchers.CCS Concepts: r Information systems → Web searching and information discovery; Web log analysis; Users and interactive retrieval; r Applied computing → Consumer health;Additional Key Words and Phrases: Medical search, cancer, behavior analysis ACM Reference Format: Michael J. Paul, Ryen W. White, and Eric Horvitz. 2016. Search and breast cancer: On episodic shifts of attention over life histories of an illness.

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A Novel Evaluation of World No Tobacco Day in Latin America

Cited by 56 publications

References 48 publications

Campaigns and counter campaigns: reactions on Twitter to e-cigarette education

Campaigns and counter campaigns: reactions on Twitter to e-cigarette education

Health-Related Effects Reported by Electronic Cigarette Users in Online Forums

Search and Breast Cancer

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